Real-Time Efficiency – Using Innovative Data Collection Techniques and the Right
KPI’s to Drive Excellence
GLOBALENERGY FORUM
February 20, 2014Houston, Texas
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Welcome
Global Energy Forum
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• Second largest producer of nitrogen fertilizer in the world
• Facility Location: Yazoo County, Mississippi
• Multiple Plants at Facility:
• Other locations: Woodward OK,
Tulsa OK, Courtright CAN,
Medicine Hat CAN, Donaldsonville LA
Port Neal IA
CF Industries
– Ammonia Plant
– Four Nitric Acid Plants
– Ammonium Nitrate (AN) Plant
– Two Urea Plants
– UAN plant
– Dinitrogen Tetroxide
Production
– Storage Facility
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• Management needed a method to consolidate and view real-time
information to rapidly identify, resolve, and avoid problems for
efficient operation
• Stuck in Reactive Mode:
– Management relying on production reports every 24 hours
– Issues identified after the fact -> always in reactive mode
• Lost Production
– Equipment damage/malfunction, operator error
• Resources tied up in “after the fact” investigations
Challenge
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• Problems to overcome:
– How to change from Reactive to Proactive?
– Needed additional ways to collect data
– Avoid IT vs. OT challenges
• Requirements hand-off, discounted from user
• “It’s what I asked for but it’s not what I need”
• Our solution:
– Provide management a method to have a personalized list of KPI’s
– Expand data collection, both automated and manual
– Allow users to see KPI’s in real-time and historically
Challenge
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• Overall solution
– Focused on a combination of OSIsoft and Microsoft technologies to
generate and display KPI’s based on real-time data
– Why PI? Why Microsoft?
• Ten years experience with PI System
• Custom Integrations/Solutions (SAP, SharePoint, .NET)
• PI and Microsoft are the tools needed for the job
• Did not want to learn another product, avoid learning curve
Customer/Partner Solution
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• Self Service Portal
– Flexible enough for management
– Able to identify, create, and edit
their personal KPI’s
– Self-service tools enable minimal input from IT
– Combine Real-time (proactive) with
historical (reactive)
Key Points in Project Execution
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• Data collection
– DCS Data
• Utilized off the shelf OSIsoft Interfaces
– Field Data
• Wireless handheld PC’s for field data
– Correct hardware for environment
– Barcodes used to reduce human error
– Form Data
• InfoPath forms (hosted by SharePoint)
– SQL, Web Services, OSIsoft interfaces
Key Points in Project Execution (cont.)
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• Architecture
– Microsoft
• SQL Server
• SharePoint
• InfoPath
– OSIsoft
• PI Server
• PI Interfaces
• PI WebParts
• PI Analytics
Key Points in Project Execution (cont.)
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Personalized KPI’s
Roll-up
Performance
Indicator
Custom list
of KPI
Parameters
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Personalized KPI’s
Visibility
of KPIs
over time
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Rolled-up Plant Performance
Management
Can See
Cross-Plant
Performance
Over Time
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Self-Service KPI Setup
Users Have
Easy to
Use KPI
Configuration
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• Proactive vs. Reactive
– Real-time Decision Making vs. Troubleshooting
– Continuous Improvement (visibility of KPI’s over time)
• Operational Sustainability
– Reduced Resource Usage
– Reduced Energy Consumption
– Sustained Higher Production
• Management Satisfaction
– Keeping the big dogs happy
Benefits
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• Next Phase
– Utilizing new analytic capabilities of the PI System
– Expansion of calculated efficiencies
– Continue to grow KPI’s into a single plant wide KPI
– Bring KPI data to mobile devices
– Move into Predictive Analytics
• Historical Analysis -> Real-time Visibility - > Predicting
• Past -> Present - >Future
Future
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• Working with Management
– IT and OT working together
– Teach them to fish instead of giving them a fish
• Getting Better Value out of the Technology
– Built using the technologies / capabilities we already owned
– Using PI as a proactive system versus a reactive system
• Continuous Improvement
– Constantly look for changes - data collection, systems
– Watch for anomalies in production/efficiency versus KPI
Lessons Learned